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<div class="title">channel_shuffle.cl</div>  </div>
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<a href="channel__shuffle_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">* Copyright (c) 2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">*</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">* SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">*</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">* Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">* of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">* deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment">* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment">* sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment">* furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment">*</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment">* The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment">* copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment">*</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment">* THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment">* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment">* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment">* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment">* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment">* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment">* SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment">*/</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="helpers_8h.xhtml">helpers.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#if defined(DATA_TYPE) &amp;&amp; defined(BLOCK_SIZE) &amp;&amp; defined(NUM_GROUPS) &amp;&amp; defined(K)</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment">// Check valid BLOCK_SIZES</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#if BLOCK_SIZE != 4 &amp;&amp; BLOCK_SIZE != 8 &amp;&amp; BLOCK_SIZE != 16</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#error &quot;Only block sizes 4, 8 and 16 are supported&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BLOCK_SIZE != 4 &amp;&amp; BLOCK_SIZE != 8 &amp;&amp; BLOCK_SIZE != 16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#define TYPE VEC_DATA_TYPE(DATA_TYPE, BLOCK_SIZE)</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;__kernel <span class="keywordtype">void</span> channel_shuffle_nchw(<a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>),</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                                   <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>))</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;{</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(dst);</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keyword">const</span> uint curr_channel = get_global_id(2); <span class="comment">// channel id of input</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keyword">const</span> uint group_id     = curr_channel / K; <span class="comment">// group id</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keyword">const</span> uint channel_id   = curr_channel % K; <span class="comment">// channel id within the group</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keyword">const</span> uint x = get_global_id(0) * BLOCK_SIZE;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <span class="keyword">const</span> uint y = get_global_id(1) * BLOCK_SIZE;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keyword">const</span> uint z = channel_id * NUM_GROUPS + group_id;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <span class="comment">// Load the NxN block</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u0 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 0, 0));</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u1 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 1, 0));</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u2 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 2, 0));</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u3 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 3, 0));</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="preprocessor">#if BLOCK_SIZE &gt; 4</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u4 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 4, 0));</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u5 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 5, 0));</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u6 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 6, 0));</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u7 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 7, 0));</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="preprocessor">#if BLOCK_SIZE == 16</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u8  = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 8, 0));</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u9  = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 9, 0));</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u10 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 10, 0));</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u11 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 11, 0));</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u12 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 12, 0));</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u13 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 13, 0));</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u14 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 14, 0));</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <a class="code" href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a> u15 = <a class="code" href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(BLOCK_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, 0, 15, 0));</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BLOCK_SIZE == 16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BLOCK_SIZE &gt; 4 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="comment">// Store blocks</span></div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    (u0, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 0, z));</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    (u1, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 1, z));</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    (u2, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 2, z));</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    (u3, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 3, z));</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="preprocessor">#if BLOCK_SIZE &gt; 4</span></div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    (u4, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 4, z));</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    (u5, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 5, z));</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    (u6, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 6, z));</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    (u7, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 7, z));</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;<span class="preprocessor">#if BLOCK_SIZE == 16</span></div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    (u8, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 8, z));</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    (u9, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 9, z));</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    (u10, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 10, z));</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    (u11, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 11, z));</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    (u12, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 12, z));</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    (u13, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 13, z));</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    (u14, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 14, z));</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <a class="code" href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(BLOCK_SIZE)</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    (u15, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;dst, x, y + 15, z));</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BLOCK_SIZE == 16 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* BLOCK_SIZE &gt; 4 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;}</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(DATA_TYPE) &amp;&amp; defined(BLOCK_SIZE) &amp;&amp; defined(NUM_GROUPS) &amp;&amp; defined(K) */</span><span class="preprocessor"></span></div><div class="ttc" id="helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00042">helpers.h:42</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00119">helpers.h:119</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="activation__layer_8cl_xhtml_a5a392548f2df67370cb15d2a5d75cd7b"><div class="ttname"><a href="activation__layer_8cl.xhtml#a5a392548f2df67370cb15d2a5d75cd7b">TYPE</a></div><div class="ttdeci">#define TYPE</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer_8cl_source.xhtml#l00026">activation_layer.cl:26</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00151">helpers.h:151</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00045">helpers.h:45</a></div></div>
<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00315">helpers.h:315</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00076">helpers.h:76</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00123">helpers.h:123</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
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